Super Group (SGHC) (SGHC) Property, Plant & Equipment (Net) (2020 - 2026)
Super Group (SGHC)'s Property, Plant & Equipment (Net) was $56 million in Q2 2026, up 60.0% from $35 million a year earlier and up 3.7% from the prior quarter.
Super Group (SGHC) (SGHC) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Super Group (SGHC) came in at $58 million, up 167.7% from FY2024.
- Property, Plant & Equipment (Net) has now increased for five consecutive years, with a five-year compound annual growth rate of 61.4% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $21.67 million in FY2024 (+14.0%), $19 million in FY2023 (+32.7%), $14.32 million in FY2022 (+0.1%) and $14.3 million in FY2021 (+169.7%).
- Quarterly Property, Plant & Equipment (Net) has moved between $13.79 million (Q2 2022) and $58 million (Q4 2025) over five years.
- The year-over-year growth in Property, Plant & Equipment (Net) has ranged between 0.1% (Q4 2022) and 199.1% (Q3 2025) over the last five years.
- Per Business Quant data, SGHC's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $54 million (Q1 2026), $58 million (Q4 2025) and $55 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 22.37 Bn | 9.19 Bn | 1.47 Bn | 11.48 Bn |
| 2 | DraftKings | 18.59 Bn | 14.25 Bn | 551.45 Mn | 52.73 Mn |
| 3 | Flutter Entertainment | 13.90 Bn | 7.65 Bn | 1.71 Bn | 575.00 Mn |
| 4 | Madison Square Garden Sports | 9.36 Bn | 8.96 Bn | 119.21 Mn | 27.16 Mn |
| 5 | Life Time Group Holdings | 9.36 Bn | 8.59 Bn | 412.26 Mn | 3.81 Bn |
| 6 | Wynn Resorts | 7.52 Bn | 1.07 Bn | 758.95 Mn | 6.61 Bn |
| 7 | Light & Wonder | 7.12 Bn | 6.43 Bn | 618.00 Mn | 346.00 Mn |
| 8 | MGM Resorts International | 7.05 Bn | -1.13 Bn | 1.98 Bn | 6.18 Bn |
| 9 | Caesars Entertainment | 5.87 Bn | 2.49 Bn | 1.50 Bn | 14.13 Bn |
| 10 | Super Group (SGHC) | 5.47 Bn | 3.53 Bn | - | 56.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.00 Mn |
| Mar 31, 2026 | 54.00 Mn |
| Dec 31, 2025 | 58.00 Mn |
| Sep 30, 2025 | 55.00 Mn |
| Jun 30, 2025 | 35.00 Mn |
| Dec 31, 2024 | 20.83 Mn |
| Sep 30, 2024 | 18.70 Mn |
| Jun 30, 2024 | 18.47 Mn |
| Mar 31, 2024 | 18.70 Mn |
| Dec 31, 2023 | 19.27 Mn |
| Sep 30, 2023 | 16.36 Mn |
| Jun 30, 2023 | 15.13 Mn |
| Mar 31, 2023 | 17.50 Mn |
| Dec 31, 2022 | 14.96 Mn |
| Sep 30, 2022 | 14.16 Mn |
| Jun 30, 2022 | 13.50 Mn |
| Mar 31, 2022 | 15.30 Mn |
| Dec 31, 2021 | 14.15 Mn |
| Dec 31, 2020 | 5.71 Mn |
Super Group (SGHC) Property, Plant & Equipment (Net) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=SGHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "SGHC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=SGHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();